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com/InternLM/InternLM"},"canonical_setting_json":{"kind":"string","value":"{\"higher_is_better\": true, \"metric_type\": \"raw\", \"multimodal_input\": false, \"notes\": \"Per InternLM3 GitHub README
from the top result below
https://huggingface.co/datasets/microsoft/benchpress-score-matrix
00933 defines the full MCP-Atlas benchmark as 1,000 tasks over 36 real MCP servers and 220 tools; the ScaleAI/MCP-Atlas HF card and scaleapi/mcp-atlas GitHub repo expose the public release as 500 evaluation prompts/tasks, matching this MCPAtlas Public benchmark row
https://huggingface.co/papers?q=companion
We will release our code on a companion link:\nhttps://github
https://huggingface.co/docs/hub/storage-limits
If you are looking for more practical tips, check out this guide on how to upload large amount of data using the Python library
https://huggingface.co/papers?q=reflective%20essays
","upvotes":3,"discussionId":"6679affcf926ce3cf48fd0d1","githubRepo":"https://github
https://huggingface.co/datasets/teknium/OpenHermes-2.5
of Excess Demand":3,"Assumptions of Say’s Law":3,"What economics is all about":2,"Measures to Correct Excess and Deficient Demand":3,"Real Cost and Nominal Cost":4,"Distinction Between Micro and Macroeconomics":4,"Terms of Trade":5,"Precautions in the Estimation of Expenditure":4,"Difference between
https://huggingface.co/docs/hub/storage-buckets-access
Copied
hf jobs run -v hf://buckets/username/my-bucket:/data python:3
https://huggingface.co/docs/hub/jobs-popular-images
A uv run --system-site-packages that would reuse the image’s packages and skip the reinstall is requested upstream
https://huggingface.co/docs/hub/jobs-schedule
12 python -c "print('This runs every hour
https://huggingface.co/docs/hub/jobs-overview
a UV or python command), a hardware flavor (CPU, GPU, TPU), and optionally a Docker image from Hugging Face Spaces or Docker Hub
https://huggingface.co/docs/hub/jobs-reference
This client allows you to interact with the Hugging Face Hub directly in Python
https://huggingface.co/docs/hub/agents-libraries
Update on GitHub
←Local Agents with llama
https://huggingface.co/docs/hub/repositories-next-steps
For even more background on Git, you can take a look at GitHub’s Git Guides
https://huggingface.co/docs/hub/models-inference
Here’s a quick start with Python and JavaScript, for more details, check out the Inference Providers Documentation
https://huggingface.co/docs/hub/spaces-changelog
com/osanseviero/status/1600881584214638592
https://huggingface.co/docs/hub/spaces-storage
This disk space is ephemeral, meaning its content will be lost if your Space restarts or is stopped
https://huggingface.co/docs/hub/jobs-quickstart
Moreover, UV accepts the --with argument to define python dependencies, so we use --with trl to have the trl library available
https://huggingface.co/docs/hub/storage-buckets-integrations
yaml
If your own run code pulls gated repos, add --secret HF_TOKEN to the launch command to also expose the token as an env var
https://huggingface.co/docs/hub/jobs-manage
12-bookworm",
"space_id": null,
"command": ["bash", "-c", "python -c \"import urllib
https://huggingface.co/docs/hub/jobs-configuration
Alternatively, pass a Hugging Face token manually with --token in the CLI, or the token argument in Python
https://huggingface.co/docs/hub/spaces-sdks-streamlit
If you wish to deploy a Space with Streamlit, please pick the Docker SDK, then use the Streamlit template
https://huggingface.co/docs/hub/spaces-oauth
CloudGoogle TPUsGradioHubHub Python LibraryHuggingface
https://huggingface.co/docs/hub/agents-overview
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https://huggingface.co/docs/hub/webhooks
Hugging Face
Models
Datasets
Spaces
Buckets new
Docs
Enterprise
Pricing
Website
Tasks
HuggingChat
Collections
Languages
Organizations
Community
Blog
Posts
Daily Papers
Hardware
Learn
Discord
Forum
GitHub
Solutions
Team
https://huggingface.co/docs/hub/jobs-large-datasets
See Polars, DuckDB, and pandas for per-library examples, and Python data tools for reading buckets over hf:// (which goes through HfFileSystem)
https://huggingface.co/docs/hub/spaces-dev-mode
If you're using the Gradio SDK, or if your application is Python-based, note that requirements are not installed automatically
https://huggingface.co/docs/hub/models-uploading
If you choose an organization, the model will be featured on the organization’s page, and every member of the organization will have the ability to contribute to the repository
https://huggingface.co/docs/hub/storage-buckets
You can interact with buckets using the Hub web interface, the hf CLI, or the Python API
https://huggingface.co/docs/hub/datasets-gated
If you want to manually approve which users can access your dataset, you must set it to manual approval
https://huggingface.co/spaces/spacy/README/blob/main/README.md
0/dist
python -m spacy huggingface-hub push en_ner_fashion-0
https://huggingface.co/blog/audio-datasets
Its minimalistic API allows users to download and prepare datasets in just one line of Python code, with a suite of functions that enable efficient pre-processing